School of Technology, Pontíficia Universidade Católica do Rio Grande do Sul, Porto Alegre, RS 90619-900, Brazil.
Department of Computer Engineering and Automation, Universidade Federal do Rio Grande do Norte, Natal, RN 59078-970, Brazil.
Sensors (Basel). 2019 Feb 8;19(3):702. doi: 10.3390/s19030702.
Disaster robotics has become a research area in its own right, with several reported cases of successful robot deployment in actual disaster scenarios. Most of these disaster deployments use aerial, ground, or underwater robotic platforms. However, the research involving autonomous boats or Unmanned Surface Vehicles (USVs) for Disaster Management (DM) is currently spread across several publications, with varying degrees of depth, and focusing on more than one unmanned vehicle-usually under the umbrella of Unmanned Marine Vessels (UMV). Therefore, the current importance of USVs for the DM process in its different phases is not clear. This paper presents the first comprehensive survey about the applications and roles of USVs for DM, as far as we know. This work demonstrates that there are few current deployments in disaster scenarios, with most of the research in the area focusing on the technological aspects of USV hardware and software, such as Guidance Navigation and Control, and not focusing on their actual importance for DM. Finally, to guide future research, this paper also summarizes our own contributions, the lessons learned, guidelines, and research gaps.
灾难机器人技术已成为一个独立的研究领域，有几个成功的机器人在实际灾难场景中部署的案例报告。这些灾难部署大多使用空中、地面或水下机器人平台。然而，涉及自主船只或无人水面车辆（USV）用于灾难管理（DM）的研究目前分散在多个出版物中，深度不一，并且专注于不止一种无人车辆 - 通常在无人海洋船只（UMV）的保护伞下。因此，目前 USV 在 DM 过程的不同阶段的重要性尚不清楚。据我们所知，本文是第一篇关于 USV 用于 DM 的应用和作用的全面调查。这项工作表明，在灾难场景中目前的部署很少，该领域的大多数研究都集中在 USV 硬件和软件的技术方面，例如制导导航和控制，而不是关注它们对 DM 的实际重要性。最后，为了指导未来的研究，本文还总结了我们自己的贡献、经验教训、指导方针和研究差距。
